Analyzing the Effects of Car Sharing Services on the Reduction of Greenhouse Gas (GHG) Emissions

Total Page:16

File Type:pdf, Size:1020Kb

Analyzing the Effects of Car Sharing Services on the Reduction of Greenhouse Gas (GHG) Emissions sustainability Article Analyzing the Effects of Car Sharing Services on the Reduction of Greenhouse Gas (GHG) Emissions Jiyeon Jung 1 and Yoonmo Koo 1,2,* 1 Technology Management, Economics and Policy Program, College of Engineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea; [email protected] 2 Graduate School of Engineering Practice, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea * Correspondence: [email protected]; Tel.: +82-2-880-2269 Received: 7 February 2018; Accepted: 9 February 2018; Published: 17 February 2018 Abstract: This study examines the environmental impacts of roundtrip car sharing services by investigating transportation behavior. Car sharing should contribute to reduced greenhouse gas GHG emissions; however, such schemes include both positive and negative environmental effects, including: (1) reduced CO2e (carbon dioxide equivalent) from substituting private vehicle use for more fuel-efficient car sharing vehicles, (2) increased CO2e as car-less individuals switch from public transit to car sharing vehicles and (3) reduced CO2e due to fewer vehicles. This study examines the impacts of this modal shift on greenhouse gas (GHG) emissions using three types of models: a mixed logit model to analyze car sharing service preferences; a binary logit model to analyze whether individuals are willing to forgo vehicle ownership or planned purchases to use car sharing services; and a linear regression to determine how much private vehicle or public transportation use would be replaced by car sharing and the resulting effects on mobility. Total emissions from the current car sharing market equal 1,025,589.36 t CO2e/year. However, an increase in electric vehicle (EV) charging stations to 50% of the number of gasoline-fuel stations would increase the probability of electric car sharing vehicle use, thereby reducing emissions by 655,773 t CO2e. This study shows that forgoing vehicle purchases does not offset the increased GHG emissions caused by the shift from public transportation or private vehicle use to car sharing. Keywords: shared-use vehicle; greenhouse gas; sharing economy; collaborative consumption; sustainable transportation; discrete choice model 1. Introduction Automobiles have long been considered to be a private means of transportation. However, with the introduction of car sharing services, cars can be rented on an “as needed” basis for as little as 10 min [1]. Car sharing also allows individuals to benefit from vehicle use without the fixed costs and responsibilities associated with ownership, because maintenance, repairs and insurance costs are included in the car sharing tariff [2]. Car sharing is evolving as a more flexible service, with one-way trips and delivery services. Roundtrip car sharing requires one to return to the designated station from which the car was rented. However, one-way car sharing allows one to return a car to a different station than the one from which it was rented [3]. This type of delivery service, which delivers the car sharing vehicle to the desired location, launched in 2017 [4]. The car sharing market has experienced rapid growth, because it provides a flexible, alternative mode of transportation. According to Navigant Research, the global car sharing market was valued at USD 1.1 billion in 2015 and is expected to grow to USD 6.5 billion by 2024 [5]. The car sharing market in South Korea is also growing rapidly, from KRW (US dollar equivalent as of January 2017 is USD 1 = KRW 1185 [6]. However, for ease of Sustainability 2018, 10, 539; doi:10.3390/su10020539 www.mdpi.com/journal/sustainability Sustainability 2018, 10, 539 2 of 17 calculation, this study used USD 1 = KRW 1000.) 600 million (=USD 600,000) in 2011 to KRW 100 billion (=USD 100 million) in 2016 and it is expected to reach KRW 500 billion (=USD 500 million) by 2020 [7]. As a solution to the societal problems of air pollution and heavy traffic congestion, many countries, states and cities provide support for car sharing services. Washington State in the U.S. offers tax credits (up to USD 60/employee/year) to employers who use car sharing [8]. Furthermore, the District Department of Transportation exempted car sharing vehicles from paying to use metered spaces [9]. Thus, car sharing is an especially attractive transit option in congested cities. Seoul has suggested various policies to reduce the volume of private vehicle traffic and foster car sharing. In September 2012, the mayor declared Seoul to be a sharing city, initiating various policies to support Nanum-car, Seoul’s car sharing service. First, shared-vehicle providers were given a 50% discount for public parking lot spaces. Second, providers of electric vehicle (EV) sharing services were given subsidies towards the purchase of electric vehicles: KRW 15 million (=USD 15,000) from the city and KRW 15 million from the national government. Additionally, free installation was provided for normal-speed EV chargers. Third, a policy for integrated transfer discounts on the public transit system was implemented. Members using public transit for journeys of less than 30 min to reach a car sharing station receive an average discount of KRW 300–1000 (USD 0.3–1) per use [10]. Within the transportation sector, the sharing economy is emerging as a solution to urban problems of traffic congestion and excessive consumption. Such measures are gaining increasing attention and support, especially with increasing concern over environmental issues. However, as car sharing services can affect individual’s travel decisions, consideration should be given to behavioral changes resulting from this alternative mode of transportation. People who would otherwise have used public transport might instead choose to drive a car sharing vehicle. Such analyses should consider the individual’s travel activity and change in mode of transportation. This study examines the effects of car sharing services on greenhouse gas (GHG) emissions by considering changes in travel mode, mobility and decisions on vehicle ownership. The remainder of this paper is organized as follows. Section1 reviews the literature on car sharing. Section2 outlines the data used in this study and presents the methodology used to analyze the demand for car sharing services and the resulting environmental effects. Section3 discusses the environmental effects of car sharing on GHG emissions and Section4 presents the conclusions and implications of this study. Revealed preference (RP) methods are commonly used to examine the actual market share of a product. However, this approach has shortcomings when analyzing the demand for a newly revealed product, or when investigating unobserved consumer behavior. Thus, stated preference (SP) methods are commonly used to analyze unobserved behaviors, such as non-selection of a product or a preference for unreleased products. Specifically, discrete choice modeling (DCM), based on SP data, is widely used to analyze travel choice behavior and identify behavioral responses to chosen situations not revealed in the market. Koo et al. [11] used the mixed logit model to analyze consumer preferences for a new incentive program that used a reward-points card to promote green consumption. Hong et al. [12] evaluated government subsidy policies for a vehicle-to-grid system by examining consumer demand using a mixed logit model. Dissanayake and Morikawa [13] used both RP and SP data to model trip decision behavior and investigated how the preference for trip-sharing affects modal choice preferences. Catalano et al. [14] analyzed the shift in behavior in response to the introduction of carpooling and car sharing at a tourist site in Palermo, Italy, using multinomial and nested logit models. That study analyzed the potential demand for carpooling and car sharing in an area of congested traffic (the tour site area) through a scenario analysis involving imposed parking costs and limited traffic area for private vehicles. Similarly, many studies use SP data to analyze consumer preferences in newly launched products or services or to further estimate the effects of adopting such products or services. Many researchers have analyzed the various positive and negative implications of car sharing, including social, economic and environmental effects [2,15–17]. These include reduced emissions [18], fewer private vehicles [19], reduction in travel distance [20] and increased mobility [21]. Sustainability 2018, 10, 539 3 of 17 Katzev [16] examined various possible impacts of roundtrip car sharing, such as changes in car ownership and mobility. The findings showed that reduced car ownership did not correspond to a reduction in the number of miles of vehicle travel, which increased among non-car owners. Martin and Shaheen [22] conducted a before-and-after analysis among active users of eleven car sharing organizations during autumn 2008, examining the effects of roundtrip car sharing on public transit and non-motorized travel. The results showed slightly negative impacts on public transit use but the magnitude and direction of shifts varied between different car sharing organizations. The reduction in public transit use was approximately equivalent to the reduction in driving or vehicle ownership by other members after joining the car sharing scheme. A further study by Martin and Shaheen [17] estimated the impacts of roundtrip car sharing in North America on net GHG emissions as a result of changes in travel behavior. It included observed impacts (emission changes are physically
Recommended publications
  • Robin Chase Self Driving Cars If We Understand That People Naturally Choose Easy & Cheap, & INFRASTRUCTURE IS DESTINY & AVS ARE IMMINENT (AT LEAST in CITIES)
    Wednesday Morning WTS @rmchase Future of Transport in 2 Movements 1. Infrastructure is Destiny 2. Build on Solid Ground This is the space required to move 60 people from A to B Personal car Bus Bicycle Source: City of Münster This is the space required to move 60 people from A to B Personal car DIDI Autonomous Vehicle #1 Infrastructure is Destiny Levittown, NY 1947-1951 Eisenhower Interstate Highway System 1956 + + 40 years of Cycle-friendly infrastructure building US Netherland s Km 47 864 cycled/person/yr % Obesity 36% 12% >15 yrs old HUMAN NATURE (Engineer-speak: “Personal infrastructure”) We strongly favor convenience (EASY) & (CHEAP) economics Equality in infrastructure IS THIS FAIR? • Is everyone getting where they need to go? • Are they paying the right price? In appropriate time? In good conditions? • Are we improving their travel conditions? For cars For people Over the last 100 years, we have specifically and proactively made personal cars easy and cheap. Over the last 100 years, we have specifically and proactively made personal cars easy and cheap. TAX & REGULATORY INFRASTRUCTURE We have underpriced: ● Air pollution ● Congestion ● Curb access (in conditions of scarcity) ● User fees for transportation infrastructure investment (in some countries) With market pricing misaligned with reality, we are overconsuming car travel. Our planetary infrastructure© 2017 VENIAM, ALL RIGHTS RESERVED ≤ Scientists tell us we will be +5-6C with BAU Scientists predict +5-6C by 2100 under BAU th Globally: is this year hotter or colder than 20 C
    [Show full text]
  • Ride Fair: a Policy Framework for Managing Transportation Network Companies
    Ride Fair: A Policy Framework for Managing Transportation Network Companies MARCH 2019 AUTHORS FROM ITDP Dana Yanocha, Senior Research Associate Jacob Mason, Director of Research and Impact CONTRIBUTORS Aimee Gauthier, Chief Knowledge Officer, ITDP Karina Licea, Mobility and Tech Specialist Diego Silva, Travel Demand Management Coordinator, ITDP Brazil ACKNOWLEDGMENTS We would like to acknowledge and thank the following experts for their assistance and feedback in the creation of this report: Bernardo Baranda, Regional Director for Latin America, ITDP Shreya Gadepalli, Regional Director South Asia, ITDP Santiago Fernandez Reyez, Urban Development Coordinator, ITDP Mexico Shanshan Li, Vice Country Director, ITDP China Rahul Madhusudanan, ITDP India Gonzalo Peon, Deputy Director, ITDP Mexico Bernardo Serra, Public Policy Coordinator, ITDP Brazil Jaime Aparicio, Laura Ballesteros, Kayli Cappucci, Miguel Abad Carillo, Drew Cooper, Warren Logan, Ramon Escobar, Onesimo Flores, Yolisa Kani, Juliana Minorello, Renato Picard and Rufino Leon Tovar. CONTENT 3 Executive Summary 5 Introduction 10 Methodology 11 Decision-Making Framework 13 Critical Regulatory Elements 23 Structural Barriers and Recommendations 31 Discussion & Next Steps 33 Appendix A: Case Study—Mexico City, Mexico 39 Appendix B: Case Study—São Paulo, Brazil 46 Appendix C: Case Study—Chicago, USA 50 Appendix D: Case Study—London, United Kingdom 54 Appendix E: Informational Interviews 3 EXECUTIVE SUMMARY WHAT ARE TRANSPORTATION NETWORK COMPANIES? Defined as digital applications that match potential riders with drivers in real time, transportation network companies (TNCs) have been characterized by their ability to “disrupt,” forcing cities around the world to respond to a range of public concerns, plan for unknowns, and adapt to constantly evolving technologies, business models, and growing demands for flexible mobility options.
    [Show full text]
  • Cities Towards Mobility 2.0: Connect, Share and Go! Smart Choices for Cities Cities Towards Mobility 2.0: Connect, Share and Go!
    Smart choices for cities Cities towards Mobility 2.0: connect, share and go! Smart choices for cities Cities towards Mobility 2.0: connect, share and go! Pictures © Shutterstock, 2016, pages: 1, 7, 10, 13, 16, 21, 24, 27, 34, 38, 39, 42. 2 Smart choices for cities Cities towards Mobility 2.0: connect, share and go! Table of contents Preface. 4 Summary. 5 Introduction . 6 The.new.paradigm.of.Mobility.2 .0:.trends.and.challenges. 9 Shared-mobility.concepts.and.experiences . 13 Car sharing . 15 Bike sharing . 20 Ride sharing . 23 Ride sourcing . 26 Park sharing. 28 Shared freight mobility . 30 Impacts.and.benefits. 36 Environmental impacts: is shared mobility the green option? . 36 Does shared mobility expand social benefits and equity in transport accessibility?. 37 Economic impacts of shared mobility . 38 Role.of.public.authorities. 40 Conclusions. 43 References . 45 Web.references. 48 3 Smart choices for cities Cities towards Mobility 2.0: connect, share and go! Preface The objective of the CIVITAS WIKI project is to provide This new mobility paradigm has relevant impacts on cities information to European city planners, decision-makers and their mobility planning strategies and plans, and gives and citizens on clean urban transport and on the CIVITAS rise to several questions. How can cities best manage the Initiative. With its policy notes, WIKI wants to inform people emergence of these new shared-mobility services? How can in cities on a number of topics that currently play an important the relationship between private and public interests best be role in urban mobility. managed? What benefits and opportunities can be identified and exploited at city level? What challenges and potential This policy analysis focuses on the topic of shared mobility.
    [Show full text]
  • Shared Mobility Systems Gilbert Laporte, Frédéric Meunier, Roberto Wolfler Calvo
    Shared mobility systems Gilbert Laporte, Frédéric Meunier, Roberto Wolfler Calvo To cite this version: Gilbert Laporte, Frédéric Meunier, Roberto Wolfler Calvo. Shared mobility systems. 4OR: A Quar- terly Journal of Operations Research, Springer Verlag, 2015, 13 (4), pp.341-360. 10.1007/s10288-015- 0301-z. hal-01792763 HAL Id: hal-01792763 https://hal-enpc.archives-ouvertes.fr/hal-01792763 Submitted on 15 May 2018 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. SHARED MOBILITY SYSTEMS GILBERT LAPORTE, FRED´ ERIC´ MEUNIER, AND ROBERTO WOLFLER CALVO Abstract. Shared mobility systems for bicycles and cars have grown in popularity in recent years and have attracted the attention of the operational research community. Researchers have investigated several problems arising at the strategic, tactical and operational levels. This survey paper classifies the relevant literature under five main headings: station location, fleet dimensioning, station inventory, rebalancing incentives, and vehicle repositioning. It closes with some open research questions. Key words: survey, shared mobility systems, bicycle and car sharing, fleet dimensioning, inventory rebalancing, vehicle repositioning. 1. Introduction The world of transportation has witnessed a mini-revolution in June 2007 with the launch- ing of the V´elib'bicycle sharing system in Paris.
    [Show full text]
  • Testing Demand Responsive Shared Transport Services Via Agent-Based Simulations
    TESTING DEMAND RESPONSIVE SHARED TRANSPORT SERVICES VIA AGENT-BASED SIMULATIONS Giuseppe Inturri, Nadia Giuffrida, Matteo Ignaccolo, Michela Le Pira, Alessandro Pluchino, Andrea Rapisarda University of Catania Abstract Demand Responsive Shared Transport (DRST) services take advantage of Information and Communication Technologies (ICT), to provide “on demand” transport services booking in real time a ride on a shared vehicle. In this paper, an agent-based model (ABM) is presented to test different the feasibility of different service configurations in a real context. First results show the impact of route choice strategy on the system performance. Keywords: shared mobility, flexible transit, dynamic ride sharing, demand responsive transport, agent-based model Introduction This paper focuses on the potential contribution of innovative Demand Re- sponsive Shared Transport (DRST) services provided by a fleet of vehicles, booked by users via mobile device applications and scheduled in real-time to pick up and drop off passengers in accordance with their needs [1]. The system stands between an expensive conventional exclusive-ride door-to-door service (like a conventional taxi) and a flexible system where a dynamic sharing of trips makes users experiment longer travel distances and times while the vehicles drop off and pick up other pas- sengers (like a conventional transit). From the operator’s point of view, it is important to select the optimal strat- egy to assign vehicles to passengers’ requests, so to perform high load factor and low driven distance (to reduce operation costs), while minimizing the additional time and distances travelers have to experience (to assure the expected level of ser- vice).
    [Show full text]
  • An Analysis of the Factors Influencing the Sustainable Use Intention Of
    sustainability Article An Analysis of the Factors Influencing the Sustainable Use Intention of Urban Shared Bicycles in China Peng Shao * and Jie Liang School of Management, Xi’an Polytechnic University, Xi’an 710048, China; [email protected] * Correspondence: [email protected]; Tel.: +86-137-0914-2830 Received: 5 April 2019; Accepted: 6 May 2019; Published: 14 May 2019 Abstract: Bicycle sharing services have played an active role in building a green travel system in China, but this trend has also caused problems, such as users arbitrarily stopping on the roads or the destruction of shared bicycles. Based on data collected by means of a survey that we designed, a regression analysis is used to test the influence of use perception and consumer characteristics on the intention to sustainably use shared bicycles by measuring the intention to: continue using the service, park the bicycles in an orderly manner, and care and protect the bicycles. We find that: (1) perceived usefulness, perceived ease of use, consumer innovation, and standardized use behavior have a significantly positive impact on the intention to continue using and park shared bicycles in an orderly manner; (2) perceived usefulness, perceived ease of use, and consumer innovation also have a significantly positive impact on the intention to care and protect shared bicycles; and, (3) standardized use behavior has no significant impact on the intention to care and protect shared bicycles. Moreover, urban air quality plays a positive regulatory role in the relationship of perceived usefulness, perceived ease of use, and consumer innovation with the intention to sustainably use the service.
    [Show full text]
  • On-Demand Shared Transport
    ON-DEMAND On-Demand Shared Transport One technology platform to efficiently service more passengers. PRODUCT DETAILER: ON-DEMAND V.200330 LIFTANGO ON-DEMAND Optimise transport for real-time demand. Passenger demand changes. It’s never fixed. So why create more fixed route schedules? On-demand shared transport uses a dynamically routed system that constantly redesigns itself based on real-time passenger demand. This means, less wasted time driving from stop to stop and more time servicing passengers where they are. Overall, you get better patronage and improved utilisation of your fleet. On-Demand: Connecting the landscape. At its core, on-demand shared transport is designed to; • Allow commuters to access transport around their schedule • Increase shared trips • Be a sustainable form of transport • Replace inefficient fixed route transit services • Improve passenger catchment and integrate with the broader transport network • Reduce reliance on single-occupancy vehicle use 01 LIFTANGO ON-DEMAND Liftango Bus: Improving public transport. Activity 5.45pm Cost effective way to 5.48pm connect passengers Bus arriving at 3 West St to public transport REG MAKE YEAR SEATS 5.52pm 456ACM Mercedes 2019 � 8 283ACM Toyota 2018 � 1 � 6 Better coverage vs a fixed route service Your driver is on the way! VIEW BOOKING DETAILS Reduce parking pressure at mass transit hubs 02 LIFTANGO ON-DEMAND Liftango Shuttle: On-Demand Corporate Shuttles. Peak Demand Fleet Satisfy development Utilisation conditions with sustainable transport 92% +7% Passenger Count Requests 14 22 9 6 7 18 24 20 Mia Green Tim Haller Reduces parking pressure at high density economic hubs 6 41 BOARD NOW Decrease commute & fleet operating costs Bus departing from Connect the last-mile and integrate Vancouver Station in 4 minutes with mass transit services.
    [Show full text]
  • Dispossession, Displacement, and the Making of the Shared Minibus Taxi in Cape Town and Johannesburg, South Africa, 1930-Present
    Sithutha Isizwe (“We Carry the Nation”): Dispossession, Displacement, and the Making of the Shared Minibus Taxi in Cape Town and Johannesburg, South Africa, 1930-Present A Dissertation SUBMITTED TO THE FACULTY OF THE UNIVERSITY OF MINNESOTA BY Elliot Landon James IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY Allen F. Isaacman & Helena Pohlandt-McCormick November 2018 Elliot Landon James 2018 copyright Table of Contents List of Figures ................................................................................................................. ii List of Abbreviations ......................................................................................................iii Prologue .......................................................................................................................... 1 Chapter 1 ....................................................................................................................... 17 Introduction: Dispossession and Displacement: Questions Framing Thesis Chapter 2 ....................................................................................................................... 94 Historical Antecedents of the Shared Minibus Taxi: The Cape Colony, 1830-1930 Chapter 3 ..................................................................................................................... 135 Apartheid, Forced Removals, and Public Transportation in Cape Town, 1945-1978 Chapter 4 ....................................................................................................................
    [Show full text]
  • Shared Mobility – Where Now, Where Next? Second Report of the Commission on Travel Demand
    Shared mobility – where now, where next? Second report of the Commission on Travel Demand September 2019 Greg Marsden, Jillian Anable, Jonathan Bray, Elaine Seagriff and Nicola Spurling About the Commission on Travel Demand Shared Mobility Inquiry The Commission on Travel Demand is an expert group established as part of our work to explore how to reduce the energy and carbon emissions associated with transport. The Commission’s first report reviewed declining trends in per capita travel across the UK and the reasons for this. The future work programme will focus on other areas of policy which are critical to rapid decarbonisation. This inquiry focuses on shared mobility and the potential to increase the occupancy of vehicles in-use, reduce individual ownership of assets and enhance multi-modal travel. We are using the term ‘shared mobility’ to mean: • Shared ownership: where the use of the vehicle asset is shared across individuals incorporating various models of commercially or peer-to-peer operated ‘car club’s’/ car sharing schemes, fractional car ownership, bike sharing schemes. • Shared at the point of use: Car/ride sharing (or trip sharing) – rides that are actually shared between different individuals or different parties, sometimes paid separately. In the future, this may include ‘robot taxis’ as shared mobility where the vehicle is shared across individuals. Reference This report should be referenced as: Marsden, G., Anable, J., Bray, J., Seagriff, E. and Spurling, N. 2019. Shared mobility: where now? where next? The second report of the Commission on Travel Demand. Centre for Reseach into Energy Demand Solutions. Oxford. ISBN: 978-1-913299-01-9 Authors: • Prof Greg Marsden, University of Leeds • Prof.
    [Show full text]
  • Order Dispatch in Price-Aware Ridesharing
    Order Dispatch in Price-aware Ridesharing Libin Zheng Lei Chen Jieping Ye Hong Kong University of Hong Kong University of Didi Research Institute, Didi Science and Technology Science and Technology Chuxing Hong Kong, China Hong Kong, China Beijing, China [email protected] [email protected] [email protected] ABSTRACT With the prevalence of car-hailing applications, ridesharing be- comes more and more popular because of its great potential in mon- etary saving and environmental protection. Order dispatch is the ' % % ! !" !$ key problem in ridesharing, which has a strong impact on riders’ $ experience and platform’s performance. Existing order dispatch re- # search works fail to consider the price of the orders, which can be &" !" an important reference because it directly relates to the platform’s !' !% profit. Our work takes the order price into concern, and formulates ( ( a constrained optimization problem, which takes platform’s profit as the optimization objective and performs controls on riders’ de- Figure 1: Example 1. tour distance and waiting time. We prove the problem is NP-hard, thus, we propose approximation methods. We further develop a simulation framework based on real ridesharing order and vehicle The dial-a-ride problem (DARP) [8, 10, 5, 16] has been widely data. We conduct experiments with this simulation framework to studied in the past years, which is a variant of the vehicle routing evaluate the effectiveness and efficiency of the proposed methods. problem [19] with time window constraints for pick-up and drop- off. The problem of adopting these methods lies in their setting that PVLDB Reference Format: Libin Zheng, Lei Chen and Jieping Ye.
    [Show full text]
  • A Method to Define the Spatial Stations Location in a Carsharing System in São Paulo -Brazil
    The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-4/W11, 2018 3rd International Conference on Smart Data and Smart Cities, 4–5 October 2018, Delft, The Netherlands A method to define the spatial stations location in a carsharing system in São Paulo -Brazil M. O. Lage 1, *, C. A. S. Machado 1, F. Berssaneti 2, J. A. Quintanilha 1 1 Dept. of Transportation Engineering, Polytechnic School, University of São Paulo, Avenida Professor Almeida Prado, Travessa 2, n. 83, São Paulo, Brazil – [email protected], [email protected], [email protected] 2 Dept. of Production Engineering, Polytechnic School, University of São Paulo, Avenida Professor Luciano Gualberto, n. 1380, São Paulo, Brazil - [email protected] Commission VI, WG VI/4 KEY WORDS: Transportation Systems, Spatial Analysis, Carsharing Station Location. ABSTRACT: Sharing mobility systems have become part of a sociodemographic trend that has pushed shared modes from the fringe to the mainstream of the transportation systems. Carsharing is a mode of shared transport, where a service is offered in which several people share the access and use of a set of vehicles. This is a relatively new mode of urban transport, which gives users access for short periods of rental, thus providing the benefits of using private vehicles, while avoiding the inherent property charges of a vehicle. The objective of the article searches for the identification and selection of preferred areas in the São Paulo City (Brazil) to implement a prototype of a carsharing system. The adopted methodology of demand analysis identifies the spatial patterns of the intervening variables of socioeconomic information, transportation and land use, in order to understand the current panorama of the demand for transport in São Paulo.
    [Show full text]
  • The Implications of the Sharing Economy for Transport
    Transport Reviews ISSN: 0144-1647 (Print) 1464-5327 (Online) Journal homepage: https://www.tandfonline.com/loi/ttrv20 The implications of the sharing economy for transport Craig Standing, Susan Standing & Sharon Biermann To cite this article: Craig Standing, Susan Standing & Sharon Biermann (2019) The implications of the sharing economy for transport, Transport Reviews, 39:2, 226-242, DOI: 10.1080/01441647.2018.1450307 To link to this article: https://doi.org/10.1080/01441647.2018.1450307 Published online: 09 Mar 2018. Submit your article to this journal Article views: 1531 View Crossmark data Citing articles: 5 View citing articles Full Terms & Conditions of access and use can be found at https://www.tandfonline.com/action/journalInformation?journalCode=ttrv20 TRANSPORT REVIEWS 2019, VOL. 39, NO. 2, 226–242 https://doi.org/10.1080/01441647.2018.1450307 The implications of the sharing economy for transport Craig Standinga, Susan Standinga and Sharon Biermannb aPlanning and Transport Research Centre (PATREC), School of Business and Law, Edith Cowan University, Joondalup, Western Australia, Australia; bPlanning and Transport Research Centre (PATREC), The University of Western Australia, Perth, Western Australia, Australia ABSTRACT ARTICLE HISTORY The sharing economy has gained a lot of attention in recent years. Received 24 June 2017 Despite the substantial growth in shared services, its impact overall Accepted 5 March 2018 on transport is unclear. This paper analyses the literature on sharing KEYWORDS in transport and includes government and consultant reports, Sharing economy; drivers; websites and academic journals. The drivers of ride-sharing, car- facilitators; review; sharing, car-pooling and freight-sharing are largely economic and technology convenience related for participants.
    [Show full text]